Building engineering construction site intelligent analysis and management system based on Internet of Things

Abstract

The invention discloses a building engineering construction site intelligent analysis and management system based on the Internet of Things, and the system comprises a data collection module which collects the data information of a construction site in real time; the data transmission module is used for realizing communication and transmission between data; the management center comprises a storage unit, a processing unit and an analysis unit, the storage unit is used for storing the data, the processing unit is used for preprocessing the data, and the analysis unit is used for analyzing construction site equipment, environment and personnel states; and the execution module is used for giving an alarm response to an existing abnormal phenomenon. According to the method, comprehensive analysis can be carried out in combination with the parameter change condition of the construction site equipment, the environmental influence quantification condition and the associated equipment cooperation condition, the abnormal phenomenon of the equipment can be analyzed and recognized more accurately, analysis is carried out in combination with the key values, potential abnormities of the equipment can be captured in advance, and the safety of the equipment is improved. And the purpose of early warning response in advance can be achieved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of building engineering management, and particularly relates to a building engineering construction site intelligent analysis management system based on Internet of Things. BACKGROUND

[0002] With the acceleration of urbanization process, the scale of building engineering is continuously expanded, the construction environment is increasingly complex, and the management is more and more troublesome. With the continuous improvement of the requirements for construction quality and personnel safety, the management of the construction site is also more and more strict.

[0003] The existing construction site management has various drawbacks. For example, in the equipment operation management and personnel safety management, a fixed alarm threshold is generally set, and when the operation parameter of the equipment or the physiological parameter of the personnel exceeds the fixed alarm threshold, an alarm is performed. Since the equipment operation is interfered by various information, for example, the abnormality of the equipment under the same function also affects other associated equipment, and if the alarm is only determined according to the self alarm, it is not accurate enough. Similarly, when the personnel state is abnormal, multiple physiological parameters are generally linked and changed, and if the personnel abnormality is only determined according to a single physiological value, it is not accurate enough. SUMMARY

[0004] The purpose of the present application is to provide a building engineering construction site intelligent analysis management system based on Internet of Things to solve the problems in the background technology.

[0005] The purpose of the present application can be realized by the following technical solutions. A building engineering construction site intelligent analysis management system based on Internet of Things, the management system comprises: A data acquisition module, the data acquisition module is used for deploying various Internet of Things terminal devices, and real-time acquisition of data information of the construction site, including data information of the site equipment, data information of the site workers and data information of the site environment; A data transmission module, the data transmission module is used for realizing the communication and transmission between data; A management center, the management center is used for being responsible for the storage, processing and intelligent analysis of data, including a storage unit, a processing unit and an analysis unit, the storage unit is used for storing data, the processing unit is used for pre-processing operation of data before analysis of the analysis unit, and the analysis unit is used for analyzing based on the processed data to determine whether there is an abnormal phenomenon in the construction site, including abnormal analysis of the construction site equipment, abnormal analysis of the construction site environment and analysis of the state of the construction site personnel; An execution module is configured to display various data parameters of the construction site on a visual platform, and generate an alarm response to remind the management personnel of the construction site when an abnormal phenomenon existing in the construction site is determined.

[0006] Further, the analysis unit has the following method for analyzing equipment abnormality of the construction site: Various key parameter data of the corresponding equipment of the construction site are obtained, and are compared with respective set alarm thresholds. When the alarm threshold is exceeded, it is determined that the equipment has an abnormality.

[0007] Further, the analysis unit has the following method for analyzing equipment abnormality of the construction site: According to the difference between the cumulative change of the parameter of the corresponding equipment of the construction site and the cumulative change of the standard parameter within a period of time , a first key value is obtained , and according to the difference between the cumulative change of the parameter of the equipment and the cumulative change of the alarm threshold within a period of time, a second key value is obtained ; From the large database, the associated environmental items that are affected by the atmosphere when the corresponding equipment has an abnormality are obtained, and the change of these associated environmental items within is obtained, and a third key value is calculated by a formula , is the number of obtained associated environmental items, is the ith associated environmental parameter change function, is the corresponding standard function, is the start time, is the end time, is the weight of the ith associated environmental parameter; Meanwhile, according to the functional correlation between the equipment, the average value of the corresponding parameters of each other equipment that has a functional connection with the corresponding equipment within is obtained, and a fourth key value is calculated by a formula , wherein is the number of other equipment that has a functional correlation, is the weight coefficient of the jth other equipment, is the standard value of the jth other equipment; The equipment abnormality index is calculated by a formula , when , it is determined that the equipment has an abnormality, ​​​The threshold for judging equipment anomalies is set based on experience. This represents the environmental impact value.

[0008] Furthermore, the method used by the analysis unit to analyze anomalies in the construction site environment is as follows: The system acquires various environmental parameters at the construction site and compares them with their respective set alarm thresholds. If the alarm threshold is exceeded, it is determined that there is an abnormality in the construction site environment.

[0009] Furthermore, the method for analyzing anomalies in the construction site environment by the analysis unit also includes: set up Time intervals are used to obtain various environmental parameters. Through formula Determine the environmental anomaly index ,in, for The start point of the time interval, for End of time interval Let be the environmental parameter value detected at time t. for The proposed standard values ​​of environmental parameters at time intervals, In order to be in The environmental parameter values ​​are acquired in real time. In order to be in Standard environmental parameter values ​​at any given time. In order to be in The maximum variation of environmental parameters over a time interval; Environmental anomaly index Compared with the environmental anomaly judgment threshold set based on experience When a comparison is performed, If so, it is determined that there is an abnormality in the construction site environment.

[0010] Furthermore, the method by which the analysis unit analyzes the status of personnel at the construction site is as follows: The system acquires various physiological parameters of construction workers and compares them with their respective set alarm thresholds. If the alarm threshold is exceeded, it is determined that the workers at the construction site are in an abnormal state.

[0011] Furthermore, the method by which the analysis unit analyzes the status of personnel at the construction site also includes: The historical data of construction workers were used to obtain the values ​​of various physiological parameters under corresponding weather conditions when no abnormalities were observed. Weighting coefficients are set according to the different impacts of various environmental parameters on construction personnel. Through formula Physiological abnormality index was obtained , The number of physiological indicators obtained, To obtain the physiological parameter value of the kth physiological indicator item, This is the comparison value of the kth physiological indicator item; Compare it with the physiological abnormality judgment threshold set based on experience. When a comparison is performed, If so, it is determined that there is an abnormality in the condition of the personnel at the construction site.

[0012] Furthermore, the execution module works as follows: based on different abnormal phenomena existing at the construction site, different alarm signals are set to respond with sound alarms, and the generated alarm signals generate corresponding text alarms, which are then sent to each management terminal and corresponding personnel.

[0013] The beneficial effects of this invention are: This invention can combine the changes in the equipment's own parameters at the construction site, the quantitative situation of environmental impact, and the coordination of related equipment to conduct a comprehensive analysis, so as to more accurately analyze and identify abnormal equipment phenomena. Moreover, by combining these key values ​​for analysis, potential abnormalities in the equipment can be captured in advance, so as to achieve the purpose of early warning and response, reduce the occurrence of subsequent equipment failures, and ensure construction efficiency.

[0014] This invention performs a comprehensive analysis based on the historical cumulative deviation within the time window, the instantaneous changes at the latest moment, and the risk of the largest mutation. This allows for a more accurate judgment of environmental anomalies and a more accurate identification of hidden anomalies in the environment. It not only aligns with the dynamic changes in the construction site environment but also provides more refined and intelligent technical support for the environmental management of smart construction sites.

[0015] This invention can perform collaborative analysis of multiple physiological data of personnel at the construction site, and then analyze and compare them with standard values ​​under different environments. This can more accurately identify abnormal phenomena in personnel, thereby better ensuring personnel safety.

[0016] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a block diagram of the management system of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] In one embodiment, an IoT-based intelligent analysis and management system for construction sites is disclosed, such as... Figure 1 As shown, the management system includes: The data acquisition module is used to deploy various IoT terminal devices to collect data information from the construction site in real time, including data information from on-site equipment, on-site workers, and on-site environment. The data transmission module is used to realize communication and transmission between data. The management center is responsible for data storage, processing, and intelligent analysis. It includes storage units, processing units, and analysis units. The storage unit stores the data, the processing unit preprocesses the data before the analysis unit analyzes it, and the analysis unit analyzes the processed data to determine whether there are any abnormal phenomena at the construction site. This includes analyzing the abnormalities of the construction site equipment, the abnormalities of the construction site environment, and the status of the construction site personnel. The execution module displays various data parameters from the construction site on a visualization platform. It also generates alarm responses to alert site management personnel when abnormal phenomena are detected.

[0021] Through the above-described scheme, this application employs Internet of Things (IoT) technology. By deploying various IoT terminal devices at the construction site, real-time data is collected, including data from on-site equipment, workers, and the environment. This data is then transmitted via a data transmission module and stored in the management center's storage unit. The processing unit performs preprocessing operations on this data, including but not limited to data cleaning, timestamp alignment, format conversion, and centralized processing. This yields clear, dimensionless parameters for subsequent analysis. The analysis unit uses on-site equipment data to detect equipment anomalies, on-site worker data to detect worker status anomalies, and on-site environmental data to detect environmental anomalies. This allows for real-time monitoring of the construction site. Upon detection of anomalies, the execution module generates corresponding alarm responses to alert site management personnel, thus improving management efficiency and quality. This management system is not limited to detecting equipment, workers, and the environment; it can also detect other anomalies. This description specifically focuses on equipment, workers, and the environment.

[0022] The analysis unit analyzes the abnormality of equipment at the construction site by acquiring various key parameter data of the corresponding equipment at the construction site, comparing them with their respective set alarm thresholds, and determining that the equipment is abnormal if the alarm threshold is exceeded. According to the corresponding equipment at the construction site, for a period of time The first key value is derived from the difference between the cumulative change of intrinsic parameters and the cumulative change of standard parameters. The second key value is derived from the difference between the cumulative change in device parameters and the cumulative change in alarm threshold over a period of time. ; Retrieve relevant environmental items from the big data database that relate to the impact on the atmospheric environment when the corresponding device malfunctions, and obtain information on... The changes in these related environment items can be obtained internally using formulas. Calculate the third key value , To obtain the number of associated environment items, for The i-th associated environmental parameter change function is pre-defined. Its corresponding standard function, for Start time, for End time, The weight of the i-th associated environmental parameter; Simultaneously, based on the functional correlation between devices, the corresponding parameters of each other device that is functionally connected to the corresponding device are obtained. Average value within Through formula Calculate the fourth key value ,in, The number of other devices that have functionally related features. Let j be the weight coefficient of the j-th other device. This is the standard value for the j-th other device; Through formula Calculate the equipment anomaly index ,when If this happens, it is determined that the equipment is malfunctioning. The threshold for judging equipment anomalies is set based on experience. This represents the environmental impact value.

[0023] The above solution provides a specific method for analyzing abnormal equipment operating conditions. First, it acquires various key parameter data of the corresponding equipment at the construction site and compares them with their respective set alarm thresholds. If the alarm threshold is exceeded, the equipment is determined to be abnormal. Then, based on the corresponding equipment at the construction site over a period of time... The first key value is derived from the difference between the cumulative change of intrinsic parameters and the cumulative change of standard parameters. The larger the first key value, the stronger the... The greater the deviation between the key parameters of the equipment and the standard values ​​within a given time period, the greater the likelihood of equipment malfunction. A second key value is derived from the difference between the cumulative change in the equipment's parameters and the cumulative change in the alarm threshold over a period of time. The second key value The smaller the value, the better. The closer the key parameters of the equipment reach the alarm threshold within a given time period, the greater the likelihood of equipment malfunction. Then, the system retrieves relevant environmental data related to the impact on the atmospheric environment when the equipment malfunctions from the large database, and obtains data on... The changes in these related environment items can be obtained internally using formulas. Calculate the third key value , To obtain the number of associated environment items, for The i-th associated environmental parameter change function is pre-defined. Its corresponding standard function is fitted using relevant historical data from when the equipment is running normally. for Start time, for End time, The weight of the i-th associated environmental parameter is obtained based on the historical environmental impact of the equipment under different abnormal phenomena. For example, when the equipment burns, the harmful gases produced, such as CO, will be affected. If the number of values ​​increases significantly, then the corresponding weight can be increased. Therefore, when the third key value... The larger the value, the greater the difference between the differences of each associated environmental item and the standard value, indicating a higher probability of equipment malfunction. Similarly, based on the functional correlation of the equipment, the corresponding parameters of other devices functionally connected to the corresponding device are obtained. Average value within Through formula Calculate the fourth key value ,in, The number of other devices that have functionally related features. Let be the weighting coefficient for the j-th other device. This coefficient is determined based on the magnitude of its functional correlation impact. For example, in a tower crane group, multiple tower cranes operate in a cross-operation manner based on the overlapping rotation radii of their booms. If one tower crane malfunctions, it will also affect the other tower cranes. The standard value for the j-th other device is determined based on historical data. Therefore, the larger the value of the fourth key value, the greater the likelihood of the device malfunctioning. Finally, the formula is used... Calculate the equipment anomaly index , The environmental impact value is obtained by training a neural network model based on a large amount of sample data to derive the environmental impact model. The current environmental conditions are then input into the model to obtain the equipment anomaly index. The higher the value, the greater the likelihood of equipment malfunction. Therefore, after obtaining the equipment malfunction index, it is compared with an empirically set equipment malfunction judgment threshold. Comparison, when If this is the case, then the equipment is deemed to be malfunctioning. This method allows for a comprehensive analysis combining variations in the equipment's own parameters, the quantification of environmental impacts, and the coordination with related equipment. This enables a more accurate analysis and identification of equipment anomalies. Furthermore, by combining these key values ​​for analysis, potential equipment anomalies can be detected in advance, achieving early warning and response, reducing subsequent equipment failures, and ensuring construction efficiency.

[0024] The analysis unit analyzes the abnormal environment of the construction site by acquiring various environmental parameters of the construction site and comparing them with their respective set alarm thresholds. When the alarm threshold is exceeded, it is determined that there is an abnormality in the construction site environment. set up Time intervals are used to obtain various environmental parameters. Through formula Determine the environmental anomaly index ,in, for The start point of the time interval, for End of time interval Let be the environmental parameter value detected at time t. for The proposed standard values ​​of environmental parameters at time intervals, In order to be in The environmental parameter values ​​are acquired in real time. In order to be in Standard environmental parameter values ​​at any given time. In order to be in The maximum variation of environmental parameters over a time interval; Environmental anomaly index Compared with the environmental anomaly judgment threshold set based on experience When a comparison is performed, If so, it is determined that there is an abnormality in the construction site environment.

[0025] The above scheme provides a specific method for determining whether there are abnormalities in the construction site environment. First, various environmental parameters of the construction site are acquired and compared with their respective set alarm thresholds. If the alarm threshold is exceeded, it is determined that there is an abnormality in the construction site environment. Then, settings are... Time intervals are used to obtain various environmental parameters. Through formula Determine the environmental anomaly index ,in, for The start point of the time interval, for End of time interval Let be the environmental parameter value detected at time t. for The proposed standard values ​​of environmental parameters at time intervals, In order to be in The environmental parameter values ​​are acquired in real time. In order to be in Standard environmental parameter values ​​at any given time. In order to be in The maximum variation of environmental parameters over a time interval It can be derived from regression analysis of a large amount of historical data under the same environment, and the formula is as follows: It indicates that in A situation where environmental parameters deviate from standard values ​​over a cumulative period of time, and This indicates the deviation of environmental parameters from standard values ​​at the latest point in time. Clearly, the larger the values ​​of both, the greater the likelihood of environmental anomalies. In order to be in The maximum variation of environmental parameters over a time interval indicates a higher probability of environmental anomalies. Therefore, obtaining the environmental anomaly index is crucial. Then, it is compared with the environmental anomaly judgment threshold set based on experience. When a comparison is performed, If this is the case, then it is determined that there is an anomaly in the construction site environment. This method allows for [further analysis / information]. By comprehensively analyzing the historical cumulative deviation within the time window, the instantaneous changes at the latest moment, and the risk of the largest sudden change, we can more accurately judge environmental anomalies and thus more accurately identify hidden anomalies in the environment. This not only fits the dynamic characteristics of the construction site environment but also provides more refined and intelligent technical support for the environmental management of smart construction sites.

[0026] The analysis unit analyzes the status of personnel at the construction site by acquiring various physiological parameters of the construction personnel and comparing them with their respective set alarm thresholds. If the alarm threshold is exceeded, it is determined that the status of the personnel at the construction site is abnormal. The historical data of construction workers were used to obtain the values ​​of various physiological parameters under corresponding weather conditions when no abnormalities were observed. Weighting coefficients are set according to the different impacts of various environmental parameters on construction personnel. Through formula Physiological abnormality index was obtained , The number of physiological indicators obtained, To obtain the physiological parameter value of the kth physiological indicator item, This is the comparison value of the kth physiological indicator item; Compare it with the physiological abnormality judgment threshold set based on experience. When a comparison is performed, If so, it is determined that there is an abnormality in the condition of the personnel at the construction site.

[0027] The above technical solution provides a specific method for determining whether there are abnormalities in the condition of personnel at a construction site. First, various physiological parameters of the construction personnel are acquired and compared with their respective set alarm thresholds. If the thresholds are exceeded, it is determined that the condition of the personnel at the construction site is abnormal. Then, the historical data of the construction personnel is used to obtain the values ​​of various physiological parameters under corresponding weather conditions when no abnormalities were observed. Weighting coefficients are set according to the different impacts of various environmental parameters on construction personnel. Through formula Physiological abnormality index was obtained , The number of physiological indicators obtained, To obtain the physiological parameter value of the kth physiological indicator item, The value of the k-th physiological indicator is obtained through comparison data. It can be seen that the larger the physiological abnormality index, the more the physiological value exceeds the normal value, and the greater the possibility of an abnormal state in the individual. Therefore, when obtaining the physiological abnormality index... Then, it is compared with the physiological abnormality judgment threshold set based on experience. When a comparison is performed, If this occurs, it can be determined that there is an abnormality in the condition of personnel at the construction site. This method allows for the collaborative analysis of multiple physiological data points from personnel on site, and by comparing these data with standard values ​​under different environments, it can more accurately identify abnormal phenomena and thus better ensure personnel safety.

[0028] The execution module works as follows: based on different abnormal phenomena existing at the construction site, different alarm signals are set to respond with sound alarms. At the same time, the generated alarm signals generate corresponding text alarms and send them to each management terminal and corresponding personnel. Moreover, different alarm levels can be set according to the degree to which each abnormal phenomenon exceeds the threshold, so as to determine the severity of the abnormality and enable managers to manage better and more precisely.

[0029] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent analysis and management system for construction sites based on the Internet of Things, characterized in that, The management system includes: The data acquisition module is used to deploy various Internet of Things (IoT) terminal devices to collect data information from the construction site in real time, including data information from on-site equipment, on-site workers, and on-site environment. A data transmission module, which is used to realize communication and transmission between data; The management center is responsible for data storage, processing and intelligent analysis. It includes a storage unit, a processing unit and an analysis unit. The storage unit stores the data. The processing unit preprocesses the data before the analysis unit analyzes it. The analysis unit analyzes the processed data to determine whether there are any abnormal phenomena at the construction site, including analysis of abnormalities in the construction site equipment, the construction site environment and the status of the construction site personnel. The execution module is used to display various data parameters of the construction site on a visualization platform. At the same time, it generates an alarm response to remind the management personnel of the construction site when an abnormal phenomenon is detected.

2. The intelligent analysis and management system for construction sites based on the Internet of Things as described in claim 1, characterized in that, The method used by the analysis unit to analyze equipment anomalies at the construction site is as follows: The system acquires various key parameter data of the corresponding equipment at the construction site and compares them with their respective set alarm thresholds. If the alarm threshold is exceeded, the equipment is judged to be abnormal.

3. The intelligent analysis and management system for construction sites based on the Internet of Things as described in claim 2, characterized in that, The method for analyzing equipment anomalies at the construction site by the analysis unit also includes: According to the corresponding equipment at the construction site, for a period of time The first key value is derived from the difference between the cumulative change of intrinsic parameters and the cumulative change of standard parameters. The second key value is derived from the difference between the cumulative change in device parameters and the cumulative change in alarm threshold over a period of time. ; Retrieve relevant environmental items from the big data database that relate to the impact on the atmospheric environment when the corresponding device malfunctions, and obtain information on... The changes in these related environment items can be obtained internally using formulas. Calculate the third key value , To obtain the number of associated environment items, for The i-th associated environmental parameter change function is pre-defined. Its corresponding standard function, for Start time, for End time, The weight of the i-th associated environmental parameter; Simultaneously, based on the functional correlation between devices, the corresponding parameters of each other device that is functionally connected to the corresponding device are obtained. Average value within Through formula Calculate the fourth key value ,in, The number of other devices that have functionally related features. Let j be the weight coefficient of the j-th other device. This is the standard value for the j-th other device; Through formula Calculate the equipment anomaly index ,when If this happens, it is determined that the equipment is malfunctioning. The threshold for judging equipment anomalies is set based on experience. This represents the environmental impact value.

4. The intelligent analysis and management system for construction sites based on the Internet of Things as described in claim 1, characterized in that, The method used by the analysis unit to analyze anomalies in the construction site environment is as follows: The system acquires various environmental parameters at the construction site and compares them with their respective set alarm thresholds. If the alarm threshold is exceeded, it is determined that there is an abnormality in the construction site environment.

5. The intelligent analysis and management system for construction sites based on the Internet of Things as described in claim 4, characterized in that, The method for analyzing anomalies in the construction site environment by the analysis unit also includes: set up Time intervals are used to obtain various environmental parameters. Through formula Determine the environmental anomaly index ,in, for The start point of the time interval, for End of time interval Let be the environmental parameter value detected at time t. for The proposed standard values ​​of environmental parameters at time intervals, In order to be in The environmental parameter values ​​are acquired in real time. In order to be in Standard environmental parameter values ​​at any given time. In order to be in The maximum variation of environmental parameters over a time interval; Environmental anomaly index Compared with the environmental anomaly judgment threshold set based on experience When a comparison is performed, If so, it is determined that there is an abnormality in the construction site environment.

6. The intelligent analysis and management system for construction sites based on the Internet of Things as described in claim 1, characterized in that, The method used by the analysis unit to analyze the status of personnel at the construction site is as follows: The system acquires various physiological parameters of construction workers and compares them with their respective set alarm thresholds. If the alarm threshold is exceeded, it is determined that the workers at the construction site are in an abnormal state.

7. The intelligent analysis and management system for construction sites based on the Internet of Things as described in claim 6, characterized in that, The method for analyzing the status of personnel at the construction site by the analysis unit also includes: The historical data of construction workers were used to obtain the values ​​of various physiological parameters under corresponding weather conditions when no abnormalities were observed. Weighting coefficients are set according to the different impacts of various environmental parameters on construction workers. Through formula Physiological abnormality index was obtained , The number of physiological indicators obtained, To obtain the physiological parameter value of the kth physiological indicator item, This is the comparison value of the kth physiological indicator item; Compare it with the physiological abnormality judgment threshold set based on experience. When a comparison is performed, If so, it is determined that there is an abnormality in the condition of the personnel at the construction site.

8. The intelligent analysis and management system for construction sites based on the Internet of Things according to claim 1, characterized in that, The execution module works as follows: Based on different abnormal phenomena existing at the construction site, different alarm signals are set to respond with sound alarms. At the same time, the generated alarm signals generate corresponding text alarms and send them to each management terminal and corresponding personnel.

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